Bruno M. Veloso

According to our database, Bruno M. Veloso authored at least 71 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach.

Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura

Data Min. Knowl. Discov., May, 2024

SWINN: Efficient nearest neighbor search in sliding windows using graphs.

Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama

Inf. Fusion, January, 2024

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso

CoRR, 2024

Detecting and Explaining Anomalies in the Air Production Unit of a Train.

Narjes Davari, Bruno Veloso, Rita Paula Ribeiro, João Manuel Portela da Gama

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning.

Alexandre Alcoforado, Lucas Hideki Okamura, Israel Campos Fama, Bárbara Fernandes Dias Bueno, Arnold Moya Lavado, Thomas Palmeira Ferraz, Bruno Veloso, Anna Helena Reali Costa

Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Super-Resolution Analysis for Landfill Waste Classification.

Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Early Failure Detection for Air Production Unit in Metro Trains.

Amelia Zafra, Bruno Veloso, João Gama

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.

Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

MetroPT-3 Dataset.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama

Dataset, March, 2023

Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation.

Dalila Durães, Bruno Veloso, Paulo Novais

Int. J. Interact. Multim. Artif. Intell., 2023

Data-driven predictive maintenance framework for railway systems.

Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama

Intell. Data Anal., 2023

Explainable Predictive Maintenance.

Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama

CoRR, 2023

Modeling Events and Interactions through Temporal Processes - A Survey.

Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama

CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?

Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Predictive Maintenance, Adversarial Autoencoders and Explainability.

Miguel E. P. Silva, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

XAI for Predictive Maintenance.

João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Feature Importances as a Tool for Root Cause Analysis in Time-Series Events.

Michal Kuk, Szymon Bobek, Bruno Veloso, Lala H. Rajaoarisoa, Grzegorz J. Nalepa

Proceedings of the Computational Science - ICCS 2023, 2023

2022

MetroPT2: A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira

Dataset, July, 2022

MetroPT: A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira

Dataset, July, 2022

Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly.

Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo-Rial, Bruno Veloso, Adriana E. Chis, Horacio González-Vélez

Simul. Model. Pract. Theory, 2022

Stream-based explainable recommendations via blockchain profiling.

Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo, Adriana E. Chis, Horacio González-Vélez

Integr. Comput. Aided Eng., 2022

Data-Driven Predictive Maintenance.

João Gama, Rita P. Ribeiro, Bruno Veloso

IEEE Intell. Syst., 2022

Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design.

Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama

ERCIM News, 2022

A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira

CoRR, 2022

ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling.

Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso, Fábio Levy Siqueira, Anna Helena Reali Costa

Proceedings of the Computational Processing of the Portuguese Language, 2022

An Online Data-Driven Predictive Maintenance Approach for Railway Switches.

Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Ethical and Technological AI Risks Classification: A Human Vs Machine Approach.

Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance.

Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Analysis of Machine Learning Algorithms for Violence Detection in Audio.

Bruno Veloso, Dalila Durães, Paulo Novais

Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

Smart Contracts for the CloudAnchor Platform.

Eduardo Vasco, Bruno Veloso, Benedita Malheiro

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

A Systematic Review on Student Failure Prediction.

Bruno Veloso, Maria Araújo Barbosa, Hugo Faria, Francisco Supino Marcondes, Dalila Durães, Paulo Novais

Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

EduBot: A Proof-of-Concept for a High School Motivational Agent.

Hugo Faria, Maria Araújo Barbosa, Bruno Veloso, Francisco Supino Marcondes, Celso Lima, Dalila Durães, Paulo Novais

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.

Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance.

Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama

Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, 2022

2021

A Survey on Data-Driven Predictive Maintenance for the Railway Industry.

Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Sensors, 2021

Hyperparameter self-tuning for data streams.

Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre

Inf. Fusion, 2021

Improving Student Engagement With Project-Based Learning: A Case Study in Software Engineering.

Paula Morais, Maria João Ferreira, Bruno Veloso

Rev. Iberoam. de Tecnol. del Aprendiz., 2021

DEBACER: a method for slicing moderated debates.

Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, André Seidel Oliveira, Rodrigo Gerber, Naíde Müller, André Corrêa d'Almeida, Bruno Miguel Veloso, Anna Helena Reali Costa

CoRR, 2021

Crowdsourced Data Stream Mining for Tourism Recommendation.

Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Hyper-parameter Optimization for Latent Spaces.

Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Improving Smart Waste Collection Using AutoML.

Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

The influence of technological innovations on international business strategy before and during COVID-19 pandemic.

Carla Santos Pereira, Bruno Veloso, Natércia Durão, Fernando Moreira

Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 2021

Current Trends in Learning from Data Streams.

João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro

Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020

On fast and scalable recurring link's prediction in evolving multi-graph streams.

Shazia Tabassum, Bruno Veloso, João Gama

Netw. Sci., 2020

A 2020 perspective on "Online guest profiling and hotel recommendation": Reliability, Scalability, Traceability and Transparency.

Bruno M. Veloso, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo

Electron. Commer. Res. Appl., 2020

A 2020 perspective on "Scalable modelling and recommendation using wiki-based crowdsourced repositories: " Fairness, scalability, and real-time recommendation.

Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez, Juan-Carlos Burguillo

Electron. Commer. Res. Appl., 2020

Interconnect bypass fraud detection: a case study.

Bruno Veloso, Shazia Tabassum, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama

Ann. des Télécommunications, 2020

Trust and Reputation Smart Contracts for Explainable Recommendations.

Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez

Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Fraud detection using heavy hitters: a case study.

Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Self Hyper-parameter Tuning for Stream Classification Algorithms.

Bruno Veloso, João Gama

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Failure Detection of an Air Production Unit in Operational Context.

Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform.

Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection, 2020

AutoML for Stream k-Nearest Neighbors Classification.

Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

On-line guest profiling and hotel recommendation.

Bruno M. Veloso, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo

Electron. Commer. Res. Appl., 2019

Scalable modelling and recommendation using wiki-based crowdsourced repositories.

Fátima Leal, Bruno M. Veloso, Benedita Malheiro, Horacio González-Vélez, Juan-Carlos Burguillo

Electron. Commer. Res. Appl., 2019

Stream Recommendation using Individual Hyper-Parameters.

Bruno M. Veloso, Benedita Malheiro, Jerry Foss

Proceedings of the 1st International Workshop on Data-Driven Personalisation of Television co-located with the ACM International Conference on Interactive Experiences for Television and Online Video, 2019

Detecting Bursts of Activity in Telecommunications.

Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama

Proceedings of the 8th International Workshop on Big Data, 2019

Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms.

Bruno Veloso, Fátima Leal, Benedita Malheiro, Fernando Moreira

Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

2018

Scalable data analytics using crowdsourced repositories and streams.

Bruno Veloso, Fátima Leal, Horacio González-Vélez, Benedita Malheiro, Juan-Carlos Burguillo

J. Parallel Distributed Comput., 2018

Personalised Dynamic Viewer Profiling for Streamed Data.

Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, João Gama

Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Self Hyper-parameter Tuning for Stream Recommendation Algorithms.

Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre

Proceedings of the ECML PKDD 2018 Workshops, 2018

Self Hyper-Parameter Tuning for Data Streams.

Bruno Veloso, João Gama, Benedita Malheiro

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Renegotiation of Electronic Brokerage Contracts.

Rúben Cunha, Bruno Veloso, Benedita Malheiro

Proceedings of the Recent Advances in Information Systems and Technologies, 2017

Personalised fading for stream data.

Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss

Proceedings of the Symposium on Applied Computing, 2017

2016

CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources.

Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo

Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

Collaborative Filtering with Semantic Neighbour Discovery.

Bruno Veloso, Benedita Malheiro, Juan C. Burguillo

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2015

A Multi-Agent Brokerage Platform for Media Content Recommendation.

Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo

Int. J. Appl. Math. Comput. Sci., 2015

Media Brokerage: Agent-Based SLA Negotiation.

Bruno Veloso, Benedita Malheiro, Juan C. Burguillo

Proceedings of the New Contributions in Information Systems and Technologies, 2015

2013

Personalised Advertising Supported by Agents.

Bruno Veloso, Luís Sousa, Benedita Malheiro

Proceedings of the Distributed Computing and Artificial Intelligence, 2013